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Raymon Cao
Raymon Cao
Johns Hopkins University
Bioconductor
Statistical model
time course
Data mining
Mathematical model
4
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1
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CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
2019
PLOS Computational Biology
Thomas Sherman
Luciane T. Kagohara
Raymon Cao
Raymond. Cheng
Matthew Satriano
Michael Considine
Gabriel Krigsfeld
Ruchira Ranaweera
Yong Tang
Sandra A. Jablonski
Genevieve Stein-O'Brien
Daria A. Gaykalova
Louis M. Weiner
Christine H. Chung
Elana J. Fertig
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Combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer with CancerInSilico
2018
bioRxiv
Thomas Sherman
Luciane T. Kagohara
Raymon Cao
Raymond. Cheng
Matthew Satriano
Michael Considine
Gabriel Krigsfeld
Ruchira Ranaweera
Yong Tang
Sandra A. Jablonski
Genevieve Stein-O'Brien
Daria A. Gaykalova
Louis M. Weiner
Christine H. Chung
Elana J. Fertig
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CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
2018
Thomas D. Sherman
Luciane T. Kagohara
Raymon Cao
Raymond Cheng
Matthew Satriano
Michael Considine
Gabriel Krigsfeld
Ruchira Ranaweera
Yong Tang
Sandra A. Jablonski
Genevieve Stein-O'Brien
Daria A. Gaykalova
Louis M. Weiner
Christine H. Chung
Elana J. Fertig
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CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
2018
bioRxiv
Thomas D. Sherman
Luciane T. Kagohara
Raymon Cao
Raymond Cheng
Matthew Satriano
Michael Considine
Gabriel Krigsfeld
Ruchira Ranaweera
Yong Tang
Sandra A. Jablonski
Genevieve Stein-OBrien
Daria A. Gaykalova
Louis M. Weiner
Christine H Chung
Elana J. Fertig
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